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学生对 IBM 提供的 Machine Learning with Python 的评价和反馈

4.7
18,296 个评分

课程概述

Python is a core skill in machine learning, and this course equips you with the tools to apply it effectively. You’ll learn key ML concepts, build models with scikit-learn, and gain hands-on experience using Jupyter Notebooks. Start with regression techniques like linear, multiple linear, polynomial, and logistic regression. Then move into supervised models such as decision trees, K-Nearest Neighbors, and support vector machines. You’ll also explore unsupervised learning, including clustering methods and dimensionality reduction with PCA, t-SNE, and UMAP. Through real-world labs, you’ll practice model evaluation, cross-validation, regularization, and pipeline optimization. A final project on rainfall prediction and a course-wide exam will help you apply and reinforce your skills. Enroll now to start building machine learning models with confidence using Python....

热门审阅

TG

Sep 24, 2020

Excellent course for beginners to data science field. Would have been better if the final project also included flavor of other ML methods such as Regression, Clustering or Recommender Systems.

CA

Dec 31, 2019

could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice

筛选依据:

2701 - Machine Learning with Python 的 2725 个评论(共 3,260 个)

创建者 Antonio B O

Jan 21, 2025

great and fast overview. The labs are also pretty useful

创建者 Arriouach M

Apr 19, 2024

Good experience, I have learned, more skills about ML.

创建者 MOHIT Y

Oct 18, 2021

If You are a beginner then don't start with this course.

创建者 Jan J Y

May 18, 2021

Some issues with importing libraries using the notebooks

创建者 Brendan W

Apr 8, 2020

Excellent course, lots of typos in the lab instructions.

创建者 AVIJIT S G

Sep 1, 2024

Great But Not the Best. But still better than the rest.

创建者 Kshitij G

Nov 16, 2021

Good Intro of ML algorithms for beginners/intermediates

创建者 Thomas

Jun 26, 2020

This is a good course I wished it was more challenging.

创建者 Abdul M A

May 14, 2019

very good lecture but not detailing notes to back it up

创建者 Agrim R

Jun 27, 2022

please provide vedios for python code explanation also

创建者 VISHAL P

Jul 27, 2020

this course was amazing for statistical field student

创建者 Jayant D

Jul 29, 2019

Explanation is good but code practice could be better.

创建者 MUHAMMED S M

Mar 13, 2026

amazing good , helped with eda nd model understanding

创建者 micheal k

Feb 14, 2023

great course

although short, many things are discussed

创建者 Javier G R

Apr 10, 2023

I would like some bibliography for deeper knowledge.

创建者 Rafael M S

Feb 14, 2023

Very good courser but some videos are too much long.

创建者 NANDINI J 2

Jan 21, 2023

The course is well-arranged. Perfect for beginners.

创建者 Penumarthi S R

May 24, 2020

I would highly recommend people to take this course.

创建者 Mohammad P

Feb 1, 2023

Great content and hands on lab to grasp the concept

创建者 Vithushan V

Jun 19, 2022

Very Good Course. I really enjoy my final project.

创建者 Pokkunuri S C

Nov 28, 2019

All the videos and practice exercises are wonderful

创建者 Hassan B

Oct 22, 2019

I enjoyed this course. It contains a great content.

创建者 Youssef A

Apr 24, 2025

Very good & helful content, but not for beginners.

创建者 Zach H

Feb 25, 2024

Could use more extension materials/further reading

创建者 هاني ا

Feb 20, 2022

Some video need to be updted , else its v.good